Industry-
Medical Devices

Practical Ideas For Product, Quality & Data Teams

Modernize Product, Quality & Commercial Workflows With Connected Data And AI

Bring Product, Quality & Market Signals Into One Operating Context

Medical device organizations manage highly connected workflows across engineering, quality, regulatory, clinical evidence, manufacturing and commercial teams.

When information is fragmented across systems, teams spend more time reconciling records, investigating issues and preparing evidence than acting on what the data is showing.

Kasmo Global helps connect those systems and workflows through modern applications, governed data and AI-assisted decision support.

Connect The Systems Behind Product Quality, Evidence & Growth

Life Sciences Consulting

Modernize the applications supporting quality, product development, clinical evidence, field operations and customer engagement.

Data & AI

Bring product, quality, service, manufacturing and commercial data into governed platforms with shared definitions and traceability.

Agentic AI

Use AI Agents to summarize evidence, surface quality signals, support investigations and help teams act faster on product and operational information.

ACROSS THE DEVICE LIFECYCLE

Where We Help

Product Development

Connect engineering, research and product information to reduce manual evidence gathering and improve development visibility.

Clinical & Regulatory

Bring study, literature and product evidence together to support review, analysis and documentation workflows.

Quality & Post-Market

Surface complaint, service and quality signals earlier to support investigation and corrective action.

Manufacturing & Commercial

Connect production, supply and customer data to improve operational planning, product availability and market visibility.

Customer Impact Stories

See what changes when Agentic intelligence becomes part of the operating model

Predictive Supply & Manufacturing Intelligence with ML-Based Forecasts, Digital Twins & IoT Analytics at Scale

Kasmo designed a Databricks-native platform that brings ERP, supplier, inventory and plant data together for real-time visibility, demand forecasting, predictive quality and manufacturing intelligence.

Reducing Research Preparation Time with Agentic AI Grounded in Scientific Data

Kasmo used Claude for Life Sciences to ground specialized Agents in Benchling and scientific sources for literature review, protocol drafting and bioinformatics work, with scientist review built into the workflow.

AI Agents for Faster Site & Investigator Selection with Evidence-Backed Recommendations

Kasmo combined trial, site, investigator and public data in Databricks, then applied human-reviewed AI Agents to rank candidates and show the evidence behind each recommendation.

Migrating Critical Sales & Pricing Analytics from Legacy SQL to an AI-Ready Lakehouse

Kasmo modernized a complex SQL Server and SSIS environment onto Databricks, using AI-assisted conversion, reconciliation and governed pipelines while preserving the business logic teams already relied on.

Enabling Faster, Better-Informed Field Decisions with AI-Powered Analytics

Kasmo designed a Databricks-native commercial intelligence solution that brings Veeva Vault CRM, claims, prescribing and payer data together for shared KPIs, HCP/HCO analysis and AI-assisted decision support.

Solutions

Purpose-built AI and data solutions for time-intensive Life Sciences work

Kasmo Global starts with workflows where teams already spend significant time reconciling data, preparing analysis or moving systems.
Commercial AI Copilot

Give field teams the right HCP context, next action & approved content in one Copilot

Commercial AI Copilot brings CRM activity, HCP/HCO context, territory signals, commercial data and approved content into one governed assistant for faster call planning, account prioritization and follow-up.

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Clinical Trial Intelligence

Accelerate Trial Feasibility & Site Selection With Evidence-Linked AI Agents

Clinical Trial Intelligence brings protocol, study, site, investigator, enrollment and public clinical data together to rank opportunities, surface risks and give study teams evidence behind every recommendation.

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R&D AI Agent

Reduce Research Time With Evidence-Linked AI Agents Across Literature, Experiments & Omics

R&D Research Agent uses Claude Platform on AWS and connected scientific sources to synthesize literature, analyze research datasets and assemble citation-backed outputs for scientist review.

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Brickpath

Move Legacy Data Warehouses To Databricks Faster With Zero Migration Risk

BrickPath helps teams migrate legacy EDW and ETL estates to a governed Databricks Lakehouse using automated discovery, dialect-aware code conversion, continuous reconciliation and wave-based migration.

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